Search Results for "compute"
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Showing 53 open source projects for "compute"
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y-cruncher
y-cruncher is a program that can compute Pi and other constants
y-cruncher is a program that can compute Pi and other constants to trillions of digits. It is the first of its kind that is multi-threaded and scalable to multi-core systems. Ever since its launch in 2009, it has become a common benchmarking and stress-testing application for overclockers and hardware enthusiasts. -
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Multifario is a C API for computing manifolds. The manifold is represented as an atlas of charts whose domains are balls. Multifario can compute implicitly defined manifolds and invariant manifolds. See also https://multifario.sourceforge.io/ Keywords: Continuation, Bifurcation.
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Social Network Visualizer
Social Network Analysis and Visualization software
Visit our new site: http://socnetv.org Social Network Visualizer (SocNetV) is a social network analysis and visualization application. You can draw a social network (graph/digraph) or load an existing one (GraphML, UCINET, Pajek, etc), compute cohesion, centrality, community and structural equivalence metrics and apply various layout algorithms based on actor centrality or prestige scores (i.e. Eigenvector, Betweenness) or on dynamic models (i.e. Kamada-Kawai spring-embedder) -
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Clifford Multivector Toolbox
A toolbox for computing with Clifford algebras in MATLAB
...The toolbox is designed to work in the same way as MATLAB's own functions by overloading standard MATLAB functions with Clifford multivector versions. The toolbox can compute with any Clifford algebra with signature (p,q,r) but only with one algebra at a time. From version 2 of the toolbox onwards, computation is also supported with conformal geometric algebras (CGA), based on an underlying Clifford algebra to provide the numerical computation. The additional functionality does not impact on the original Clifford algebra functions of the toolbox. ... -
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Digraph3
A collection of python3 modules for Algorithmic Decision Theory
...Technical documentation and tutorials are available under the following link: https://digraph3.readthedocs.io/en/latest/ The tutorials introduce the main objects like digraphs, outranking digraphs and performance tableaux. There is also a tutorial provided on undirected graphs. Some tutorials are problem oriented and show how to compute the winner of an election, how to build a best choice recommendation, or how to linearly rank or rate with multiple incommensurable performance criteria. Other tutorials concern more specifically operational aspects of computing maximal independent sets (MISs) and kernels in graphs and digraphs. -
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seaborn
Statistical data visualization in Python
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn helps you explore and understand your data. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots. Its dataset-oriented, declarative API lets you focus on what the different elements of... -
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basic_numerical_methods
Didactic application to aid students in learning Numerical Methods;
A practical tool (for students and engineers) to foresee the result of calculus exercises. Calculation and visualization numerical methods for nonlinear equation, ODE, integration, linear system, polynomial fitting,..... -
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RootGraph
Graphic interface with algorithms to compute line and root graphs
Simple and intuitive graphic interface for graph theory with algorithms to compute line and root graphs of a given graph. - Double click to add a new node. - Left click a node and drag to change the position of the node. - Select a node with left click and add an edge with the next node you select. - Right click a node to delete it. Made in C++ using the wxWidgets library. -
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This program manipulates representations of compact semi-simple Lie algebras. It can compute tensor products, (anti-)symmetric parts and the branching rules into maximal subalgebras.
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Application Monitoring That Won't Slow Your App DownFull APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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ADiGator
A MATLAB Automatic Differentiation Tool
...Given a user written file, together with information on the inputs of said file, ADiGator uses forward mode automatic differentiation to generate a new file which contains the calculations required to compute the numeric derivatives of the original user function. Furthermore, these calculations are written entirely in the native MATLAB language, and thus the process may be repeated to obtain nth order derivative files. The package is particularly appealing for applications where the same derivative must be found at multiple different points, i.e. non-linear root finding/optimization, stiff ode integration, etc. -
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CUDALucas
A program that uses CUDA to accelerate the Lucas Lehmer test.
CUDALucas is a program implementing the Lucas-Lehmer primality test for Mersenne numbers using the Fast Fourier Transform implemented by nVidia's cuFFT library. You need a CUDA-capable nVidia card with compute compatibility >= 1.3 up to CUDA 6.5, 2.x up to 7.0 and 3.x for >=CUDA 8.0 . The program is run from the command line, however it can be configured without using a terminal. See the Wiki for more details. README for new users available at the Files/Downloads page. -
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A set of Matlab functions which compute effect size statistics and (exact) confidence intervals for a wide range of data analysis situations, including two-sample-, oneway-, twoway- and contrast analyses as well as categorical data in tables.
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A reworking in C++ of KBMAG. A package and C++ library for computing automatic structures and confluent rewriting system for group and coset rewriting systems, and for computing with finite state automata
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Econball
Equation of stock trading simplified to game of moving resizing balls
The econ theory is the value of buy and sell are usually equal, at whatever free market price at the time, so if we trade between 2 things, holding the total of those 2 equal eachother, then you can buy without anyone selling, or sell without anyone buying. Just change from one equal valued type to the other, and the total of all the A's and all the B's are scaled instantly to be the same amounts. Those who change to the majority side lose, and those who change to the minority side win,... -
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Math Objects is a template based math library for C++ that can handle complex mathematical objects. It can compute the Smith form for matrices of polynomials and the Smith-McMillan form of transfer function matrices
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pure python polyfit
python2/3: compute polyfit (1D, 2D, N-D) without thirdparty libraries
python2/3: compute polyfit (1D, 2D, N-D) without any thirdparty library like numpy, scipy etc. also can be used for least squares solution computation and for A=QR matrix decomposition. Tested with python 2.7 and 3.4 Consider donating to this project: https://sourceforge.net/p/purepythonpolyfit/donation For a Sample use, refer to the WIKI -
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LightCAS
LightCAS is very lightweigth Computer Algebra System
LightCAS is lightweight Computer Algebra System. Its size is less that 50K of compiled code. LightCAS can parse, display, evaluate and simplify mathematical expressions. It can also compute derivatives, find solutions of one or second order expressions, solve systems of equations, compute Taylor series. Its code is intended to be full configurable for most applications. -
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bootpm
estimates transition probabilities and their standard deviation
...It allows the user to choose a subsample of the data as well as an alternative specification of the states. Editing the script, the user can activate different sections (to plot or save A and S, to change this function into an interactive script, to test the script, to compute other statistics, to customize it...) -
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A collection of projects I have developed in the past years. It contains: - a tool to compute height and angle of objects above horizon - a proof of concept of DFT and DWT to reduce audio files - a quantitative library with OOorg interface for Calc
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TIDES
Taylor series Integrator for Differential Equations
Taylor series Integrator for Differential EquationS. This software is developed by Profs. A. Abad, R. Barrio, F. Blesa and M. Rodriguez, (GME, University of Zaragoza, Spain). It consists on a C (Fortran) library, libTIDES, and a Mathematica package, MathTIDES. (MathTIDES requires Mathematica version >= 7.0) . Basic references: * A. Abad, R. Barrio, F. Blesa, M. Rodriguez, 2012. Algorithm 924: TIDES, a Taylor series Integrator for Differential EquationS, ACM TOMS. 39, no. 1, art. 5.... -
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Truncated power series algebra
Truncated power series algebra
This project consists of two object-oriented implementations of truncated power series (TPSA) for arbitrary order and number of variables. Addition, subtraction, multiplcation, division, and exponentiation are all implemented in the algebra as overloaded operators. They can also compute with maps, a map being an array of TPSA objects representing a mapping of a space into itself. They are implemented as arrays of TPSA objects equal in number to the number of variables of the algebra. One implementation is written in Mathematica and is rather slow. The second is written in VB.net and is much faster. -
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JCycles
[frozen] A library for computing cycles in graphs or in Java code.
[This project is frozen, but has an offspring with more features: https://github.com/jeffhain/jadecy ] JCycles provides treatments to compute cycles, or just strongly connected components, in directed graphs in general, or in classes or packages dependencies graphs parsed from class files (major version <= 51, else does best effort). It uses Tarjan's algorithm for SCCs, and Johnson's for cycles, with continuations instead of recursion, which allows to handle large graphs (< Integer.MAX_VALUE vertices). ... -
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IterInt is a numerical integration package that implements iterated numerical integration methods. Iterated methods can be used to compute low dimensional (less than ten, for example) integration problems to get very accurate results.
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CUDAPm1
CUDA implementation of P-1 factoring for Mersenne numbers
CUDAPm1 is a modification of CUDALucas that implements the P-1 factoring algorithm for Mersenne numbers using the Fast Fourier Transform implemented by nVidia's cuFFT library. You need a CUDA-capable nVidia card with compute compatibility >= 1.3. -
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VisualRiSC
Toolbox visualizing computations of Realizable Sign Conditions.
This toolbox contains a set of Python procedures in order to compute examples associated with the computation of Realizable Sign Conditions (RiSC) due to the approach by Basu, Pollack and Roy. The RiSC approach is a way to solve and analyze systems of polynomial equations and inequalities over the real numbers in the field of real-algebraic geometry. The involved computations often consist of highly sophisticated notions, not easy to illustrate by hand.
